Chuanliang Zhang, Yifang Hou, Xiaohua Wu, Guowei Zeng, Lei Zhao, Ming Xiao
{"title":"机器人辅助根治性前列腺切除术后下肢DVT危险因素分析及护理干预策略:一项单中心回顾性队列研究","authors":"Chuanliang Zhang, Yifang Hou, Xiaohua Wu, Guowei Zeng, Lei Zhao, Ming Xiao","doi":"10.1007/s11701-025-02784-6","DOIUrl":null,"url":null,"abstract":"<p><p>To identify independent risk factors for lower extremity deep vein thrombosis (DVT) following robot-assisted radical prostatectomy (RARP), develop a risk prediction model, and propose targeted nursing intervention strategies. A retrospective analysis was conducted on clinical data from 199 RARP patients treated between January 2023 and April 2024. Univariate and multivariate logistic regression analyses were employed to identify risk factors, followed by the development and validation of a predictive model. Non-O blood type (OR = 3.058), elevated preoperative D-dimer levels (OR = 13.729), and intraoperative hypothermia (OR = 3.497) were identified as independent risk factors for DVT. The composite prediction model demonstrated an Area Under the Curve (AUC) of 0.777. Based on these findings, nursing strategies including intraoperative temperature management, early mobilization protocols, and personalized anticoagulation regimens were formulated. Nursing practitioners should prioritize high-risk patients and implement multidimensional interventions to reduce DVT incidence. The generalizability of these findings may be limited by the retrospective single-centre design and relatively small number of DVT events.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"611"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441100/pdf/","citationCount":"0","resultStr":"{\"title\":\"Analysis of risk factors for lower extremity DVT following robot-assisted radical prostatectomy and nursing intervention strategies: a single centre retrospective cohort study.\",\"authors\":\"Chuanliang Zhang, Yifang Hou, Xiaohua Wu, Guowei Zeng, Lei Zhao, Ming Xiao\",\"doi\":\"10.1007/s11701-025-02784-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To identify independent risk factors for lower extremity deep vein thrombosis (DVT) following robot-assisted radical prostatectomy (RARP), develop a risk prediction model, and propose targeted nursing intervention strategies. A retrospective analysis was conducted on clinical data from 199 RARP patients treated between January 2023 and April 2024. Univariate and multivariate logistic regression analyses were employed to identify risk factors, followed by the development and validation of a predictive model. Non-O blood type (OR = 3.058), elevated preoperative D-dimer levels (OR = 13.729), and intraoperative hypothermia (OR = 3.497) were identified as independent risk factors for DVT. The composite prediction model demonstrated an Area Under the Curve (AUC) of 0.777. Based on these findings, nursing strategies including intraoperative temperature management, early mobilization protocols, and personalized anticoagulation regimens were formulated. Nursing practitioners should prioritize high-risk patients and implement multidimensional interventions to reduce DVT incidence. The generalizability of these findings may be limited by the retrospective single-centre design and relatively small number of DVT events.</p>\",\"PeriodicalId\":47616,\"journal\":{\"name\":\"Journal of Robotic Surgery\",\"volume\":\"19 1\",\"pages\":\"611\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441100/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Robotic Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11701-025-02784-6\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Robotic Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11701-025-02784-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
Analysis of risk factors for lower extremity DVT following robot-assisted radical prostatectomy and nursing intervention strategies: a single centre retrospective cohort study.
To identify independent risk factors for lower extremity deep vein thrombosis (DVT) following robot-assisted radical prostatectomy (RARP), develop a risk prediction model, and propose targeted nursing intervention strategies. A retrospective analysis was conducted on clinical data from 199 RARP patients treated between January 2023 and April 2024. Univariate and multivariate logistic regression analyses were employed to identify risk factors, followed by the development and validation of a predictive model. Non-O blood type (OR = 3.058), elevated preoperative D-dimer levels (OR = 13.729), and intraoperative hypothermia (OR = 3.497) were identified as independent risk factors for DVT. The composite prediction model demonstrated an Area Under the Curve (AUC) of 0.777. Based on these findings, nursing strategies including intraoperative temperature management, early mobilization protocols, and personalized anticoagulation regimens were formulated. Nursing practitioners should prioritize high-risk patients and implement multidimensional interventions to reduce DVT incidence. The generalizability of these findings may be limited by the retrospective single-centre design and relatively small number of DVT events.
期刊介绍:
The aim of the Journal of Robotic Surgery is to become the leading worldwide journal for publication of articles related to robotic surgery, encompassing surgical simulation and integrated imaging techniques. The journal provides a centralized, focused resource for physicians wishing to publish their experience or those wishing to avail themselves of the most up-to-date findings.The journal reports on advance in a wide range of surgical specialties including adult and pediatric urology, general surgery, cardiac surgery, gynecology, ENT, orthopedics and neurosurgery.The use of robotics in surgery is broad-based and will undoubtedly expand over the next decade as new technical innovations and techniques increase the applicability of its use. The journal intends to capture this trend as it develops.